https://github.com/tajiknomi/ga-based-feature-selection
Texture Feature Selection Using GA for Classification of Human Brain MRI Scans
https://github.com/tajiknomi/ga-based-feature-selection
genetic-algorithm machine-learning matlab matlab-script supervised-learning
Last synced: 8 months ago
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Texture Feature Selection Using GA for Classification of Human Brain MRI Scans
- Host: GitHub
- URL: https://github.com/tajiknomi/ga-based-feature-selection
- Owner: tajiknomi
- License: gpl-3.0
- Created: 2024-08-02T07:26:10.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-05T04:28:14.000Z (almost 2 years ago)
- Last Synced: 2025-01-25T14:24:11.136Z (over 1 year ago)
- Topics: genetic-algorithm, machine-learning, matlab, matlab-script, supervised-learning
- Language: MATLAB
- Homepage:
- Size: 2.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
### Intro
The research paper "*Texture Feature Selection Using GA for Classification of Human Brain MRI Scans*" explores the use of Genetic Algorithms (GA) for selecting optimal texture features in the classification of brain MRI scans. The study demonstrates that GA can effectively identify relevant features that improve classification accuracy in distinguishing between normal and abnormal brain tissues. This approach enhances the diagnostic process by optimizing feature selection, leading to more accurate and efficient MRI scan analysis.
The paper is published in the [International Conference on swarm intelligence 2016](https://link.springer.com/chapter/10.1007/978-3-319-41009-8_25)
### Implementation
MATLAB scripts are used for pre-processing, evaluation and plotting. All the scripts are available in the repository.
### Details
The accompanying presentation offers a clear and accessible overview of the project, complementing the [published paper](https://link.springer.com/chapter/10.1007/978-3-319-41009-8_25) with detailed explanations, visuals, and results.
### Note
The project was done in 2015-16 so it is no longer supported for improvement by the author.
### Contribution
Dr Atiq-Rehman-Jadoon, [Dr Waleed Khan](https://www.linkedin.com/in/khanwaleed247?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app)